The evolution of 3D scanning systems has determined a large range of commercial solutions available on the market with different costs depending on their performances. The most interesting scanners for the sake of this research rely on structured light optical sensors like Microsoft Kinect v1 sensor, which are extremely low-cost, but they still provide a precision that is valuable for some medical applications, e.g., the scanning of a residual limb.
In this research work, we present our CAD system based on a knowledge-guided approach to design the socket starting from two different 3D acquisition systems; the first one uses Microsoft Kinect and the second one exploits MRI volumes to get the final 3D shape of residual limb. Then, a comparison of introduced techniques to create 3D shape is exposed. Final outcomes are shown and discussed in the paper.